Get Instagram profiles, posts, and reels
Skills(SKILL.md)は、AIエージェント(Claude Code、Cursor、Codexなど)に特定の能力を追加するための設定ファイルです。
詳しく見る →Get Instagram profiles, posts, and reels
Get LinkedIn profiles, company pages, and posts
Intelligence and enrichment - person and company data, social profiles, events, and funding
Social media scraping - Instagram, TikTok, LinkedIn, and X/Twitter profiles, posts, and content
Search TikTok - find profiles, videos, hashtags, and trending content
Look up Twitter/X profiles - get bio, followers, tweets, and engagement
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Extract and score leads from GitHub repositories by analyzing stars, forks, issues, PRs, comments, and contributions. Produces unified multi-repo CSV with deduplicated user profiles. No paid API credits required.
Query grid electricity forecasts and submit load events using EnergyKit to help users optimize home electricity usage. Use when building smart home apps, EV charger controls, HVAC scheduling, or energy management dashboards that guide users to use power during cleaner or cheaper grid periods.
Builds SwiftUI views with modern MV architecture, state management, and view composition patterns. Covers @Observable ownership rules, @State/@Bindable/@Environment wiring, view decomposition, custom ViewModifiers, environment values, async data loading with .task, iOS 26+ APIs, Writing Tools, and performance guidelines. Use when structuring a SwiftUI app, managing state with @Observable, composing view hierarchies, or applying SwiftUI best practices.
Store a learning, pattern, or decision in the memory system for future recall.
Competitive analysis - feature matrix, SWOT, market positioning, benchmark.
Cloud cost optimization, token/API cost tracking, build time optimization, and FinOps patterns
React, Next.js, TypeScript frontend patterns - component design, state management, performance
GDPR compliance - data subject rights, lawful basis, DPIA, privacy by design, breach notification, consent management, cross-border transfers, PII masking
Schema design, resolver patterns, DataLoader, N+1 prevention, and subscription patterns for GraphQL APIs.
Protobuf schema design, streaming patterns, interceptor chains, deadline propagation, and error handling for gRPC services.
JPA/Hibernate patterns for entity design, relationships, query optimization, transactions, auditing, indexing, pagination, and pooling in Spring Boot.
Knowledge graph integration for token-efficient codebase understanding. Uses codebase-memory MCP for AST indexing, dependency graphs, and smart context selection. 6-71x token savings vs raw file reading.
Coroutine patterns, Flow operators, Jetpack Compose state management, Ktor routing, and Kotlin Multiplatform shared code.
Progressive memory recall with 4 scope layers AND 3 depth layers. Scope: identity > project > room > deep. Depth: IDs only > summary > full. 10-50x token savings through fetch-on-confirmation pattern.
Hierarchical memory organization for multi-session context retention. Wings (projects) > Rooms (domains) > Drawers (decisions). Semantic search across all memories with zero cloud dependency.
Mobil uygulama paywall strateji rehberi. 14 kategori benchmark database, 4 paywall modeli, trial optimizasyonu, placement mapping, pricing psychology, regional pricing (PPP) ve Apple/Google compliance checklist.
Query the memory system for relevant learnings from past sessions using semantic search.
Agent reputation scoring, performance tier system, trust calibration, and task affinity matching
Pre-launch verification across infrastructure, security, legal, payment, email, analytics, and performance. Day-1 monitoring, rollback plan, incident response skeleton, and post-launch week-1 checklist.
Dynamic model selection based on task complexity scoring. Replaces static model mappings with a weighted signal system that picks Opus, Sonnet, or Haiku-class speed per task. Works with agent-assignment-matrix.md.
Show how vibecosystem works - agents, skills, hooks, and self-learning pipeline.
Claude Mind - Search and manage Claude's persistent memory stored in a single portable .mv2 file
Claude Mind - Search and manage Claude's persistent memory stored in a single portable .mv2 file
Enforce universal standards for high-performance development. Use when profiling bottlenecks, reducing latency, fixing memory leaks, improving throughput, or optimizing algorithm complexity in any language.
Guides analysis of Google Search Console (GSC) data: performance metrics, indexing, sitemaps, Core Web Vitals, and rich results. Covers best practices for monthly monitoring and actionable insights.
Guides building a holistic SEO data analysis system. Covers four core metrics (indexing, traffic, keywords, backlinks), benchmark setup, article database, tool selection, traffic diversification, pena
Guides implementation of **share buttons** that let users share the current page (article, post, product) to social platforms. Distinct from **social profile links** (footer links to your brand's X, L
Guides local SEO: Google Business Profile, NAP consistency, and citation building. Businesses with accurate NAP across 40+ authoritative sites see ~19% higher visibility in Google Maps. Use this skill
Guides parasite SEO (also "barnacle SEO")—publishing optimized content on high-authority third-party platforms (Medium, Reddit, LinkedIn, Grokipedia, etc.) to leverage their domain strength for rankin
Guides Integrated Marketing Communications (IMC) strategy. IMC coordinates all marketing channels to deliver a consistent message and unified customer experience. Companies using integrated approaches
Protein Solubility Optimization - Optimize protein solubility: calculate properties, predict solubility, predict hydrophilicity, and suggest mutations. Use this skill for protein engineering tasks involving calculate protein sequence properties predict protein function ComputeHydrophilicity zero shot sequence prediction. Combines 4 tools from 3 SCP server(s).
Facilitates conversational discovery to create Architectural Decision Records (ADRs) for non-functional requirements using the ISO/IEC 25010:2023 quality model. Use when the user wants to document quality attributes, NFR decisions, security/performance/scalability architecture, or design systems with measurable quality criteria. Part of the skills-for-java project
Use when you need to set up Java application profiling to detect and measure performance issues — including automated async-profiler v4.0 setup, problem-driven profiling (CPU, memory, threading, GC, I/O), interactive profiling scripts, JFR integration with Java 25 (JEP 518, JEP 520), or collecting profiling data with flamegraphs and JFR recordings. Part of the skills-for-java project
نوشتن محتوای معرفی و تبلیغاتی برای کتابها در سایت فروشگاهی شامل خلاصه داستان بدون اسپویل، معرفی نویسنده، ژانر و فواید خواندن.
Анализирует C-код (особенно FFmpeg/RKNN) на ошибки и баги, оптимизирует вычисления для однопроцессорных систем. Соблюдает строгие правила модификации: не удалять комментарии, не переименовывать идентификаторы, не добавлять новый функционал, возвращать полный код и объяснять правки отдельно.
使用C语言实现指定算法(如排序、查找、哈夫曼树),利用Windows API的QueryPerformanceCounter函数进行高精度计时,并确保代码兼容低版本编译器。
使用C语言(兼容低版本)实现排序、查找或哈夫曼树等算法,并利用Windows API的QueryPerformanceCounter函数计算算法执行时间(微秒)。
An iterative prompt engineering assistant that optimizes user prompts using role, background, and constraints, providing comparative analysis and educational feedback to help users master prompt engineering.
Optimizes academic text by providing rephrased alternatives, comparing sentence options for tone and clarity, and improving flow while minimizing plagiarism risk.